Topics / #keras

Keras projects on GitHub

High-level Python deep learning API

As of , the most-starred Keras projects on GitHub are netron (33.6K stars), tqdm (31.4K stars) and handson-ml2 (29.9K stars). GitHub.Locker tracks 25 Keras repositories with 496.4K stars combined. The fastest-growing on October 16 was onnxruntime, with +13 stars in a day.

25Projects
496.4KStars in total
+72Stars in a day
Browse in the catalog →github.com/topics/keras ↗

Hot right now

Most stars gained in a day · Oct 16

+13

onnxruntime

microsoft/onnxruntime · ★ 22.1K

ONNX Runtime is a cross-platform, high performance ML accelerator for inference and training. It runs models from PyTorch, TensorFlow/Keras and classical ML libraries like scikit-learn, LightGBM and XGBoost.

+10

d2l-en

d2l-ai/d2l-en · ★ 29.9K

An interactive open-source deep learning book that teaches concepts, context, and runnable code together, with examples in multiple frameworks. Its premise: the best way to understand deep learning is learning by doing.

+10

handson-ml3

ageron/handson-ml3 · ★ 14.3K

A collection of Jupyter notebooks with example code and exercise solutions for the 3rd edition of the O'Reilly book 'Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow'.

+9

machine-learning-zoomcamp

DataTalksClub/machine-learning-zoomcamp · ★ 14.8K

Machine Learning Zoomcamp is a free, hands-on course that teaches you how to build, evaluate, and deploy real machine learning systems, going from a raw problem all the way to a production service.

The all-time top

25 projects · by stars

  1. #1 · lutzroeder/netron

    netron

    Netron is a viewer for neural network, deep learning and machine learning models that lets you open a model file and visually inspect its graph, layers and weights.

    33.6K
  2. #2 · tqdm/tqdm

    tqdm

    A fast, extensible progress bar for Python and the CLI: wrap any iterable with tqdm(iterable) and your loop instantly shows a smart meter with percentage, speed and ETA.

    31.4K
  3. #3 · ageron/handson-ml2

    handson-ml2

    This is a collection of Jupyter notebooks with the example code and exercise solutions for the second edition of the O'Reilly book 'Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow'.

    29.9K
  1. 4

    d2l-en

    29.9Kd2l-ai/d2l-en · Python

    An interactive open-source deep learning book that teaches concepts, context, and runnable code together, with examples in multiple frameworks. Its premise: the best way to understand deep learning is learning by doing.

  2. 5

    data-science-ipython-notebooks

    29.4Kdonnemartin/data-science-ipython-notebooks · Python

    A large curated collection of IPython/Jupyter notebooks covering the Python data science stack: deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, statistics with SciPy, pandas, matplotlib, NumPy, Kaggle competition analyses, big data (Spark, Hadoop MapReduce, HDFS), AWS, and command-line essentials.

  3. 6

    Mask_RCNN

    25.6Kmatterport/Mask_RCNN · Python

    An implementation of the Mask R-CNN model on Python 3, Keras and TensorFlow that generates bounding boxes and a segmentation mask for each object instance in an image, built on a Feature Pyramid Network and a ResNet101 backbone.

  4. 7

    ncnn

    24KTencent/ncnn · C++

    ncnn is a high-performance neural network inference framework built by Tencent and optimized for mobile, embedded, and desktop deployment. It is used in Tencent apps like QQ, Qzone, and WeChat to run deep learning models on-device.

  5. 8

    best-of-ml-python

    23.8Klukasmasuch/best-of-ml-python

    A curated, ranked index of top open-source machine learning libraries for Python, covering areas like deep learning, NLP, AutoML and data visualization, generated and refreshed automatically.

  6. 9

    100-Days-Of-ML-Code

    22.2KMLEveryday/100-Days-Of-ML-Code · Python

    The Chinese edition of the 100 Days of ML Code challenge: a day-by-day machine learning learning log with infographics, notes and Python code, spanning supervised and unsupervised learning. It translates the original challenge by Avik-Jain and has gathered 22k+ stars.

  7. 10

    onnxruntime

    22.1Kmicrosoft/onnxruntime · C++

    ONNX Runtime is a cross-platform, high performance ML accelerator for inference and training. It runs models from PyTorch, TensorFlow/Keras and classical ML libraries like scikit-learn, LightGBM and XGBoost.

  8. 11

    onnx

    21.6Konnx/onnx · Python

    ONNX (Open Neural Network Exchange) is an open standard for machine learning interoperability — an open ecosystem and format for AI models, both deep learning and traditional ML.

  9. 12

    deep-learning-with-python-notebooks

    20.3Kfchollet/deep-learning-with-python-notebooks · Jupyter Notebook

    Companion Jupyter notebooks for the book 'Deep Learning with Python' by Francois Chollet (and Matthew Watson for the 3rd edition, 2025), implementing all its code samples, plus legacy notebooks for the 2nd edition (2021) and 1st edition (2017).

  10. 13

    magika

    18.7Kgoogle/magika · Rust

    Magika is an AI-powered file type detection tool: a small deep learning model (a few MB) identifies what a file actually is within milliseconds, even on a single CPU.

  11. 14

    Screenshot-to-code

    16.5Kemilwallner/Screenshot-to-code · HTML

    A neural network that turns a design mock-up image into the HTML markup of a static website — render that markup and you get the original design back.

  12. 15

    cheatsheets-ai

    15.4Kkailashahirwar/cheatsheets-ai

    A curated collection of one-page cheat sheets covering popular machine learning and deep learning tools such as TensorFlow, Keras, NumPy, Pandas, Scikit-learn, Matplotlib, PySpark, Dask, and R's dplyr/tidyr, aimed at ML and DL researchers.

  13. 16

    machine-learning-zoomcamp

    14.8KDataTalksClub/machine-learning-zoomcamp · Jupyter Notebook

    Machine Learning Zoomcamp is a free, hands-on course that teaches you how to build, evaluate, and deploy real machine learning systems, going from a raw problem all the way to a production service.

  14. 17

    horovod

    14.7Khorovod/horovod · Python

    Horovod is a distributed deep learning training framework that adds distributed training support to TensorFlow, Keras, PyTorch, and Apache MXNet, aiming to make scaling training across many GPUs and machines fast and easy.

  15. 18

    handson-ml3

    14.3Kageron/handson-ml3 · Jupyter Notebook

    A collection of Jupyter notebooks with example code and exercise solutions for the 3rd edition of the O'Reilly book 'Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow'.

  16. 19

    deeplearning4j

    14.3Kdeeplearning4j/deeplearning4j · Java

    Eclipse Deeplearning4J is a suite of JVM libraries for building, training and deploying deep learning applications, usable from Java, Scala, Kotlin and Clojure.

  17. 20

    Ai-Learn

    13.4Ktangyudi/Ai-Learn

    This is a free, structured roadmap of nearly 200 hands-on AI learning projects covering Python, math, machine learning, data analysis, deep learning, computer vision and NLP, created by instructor Tangyudi (唐宇迪) to help beginners become job-ready in AI.

  18. 21

    tutorials

    13.1KMorvanZhou/tutorials · Python

    This is a large collection of beginner-friendly Python tutorials by MorvanZhou (莫烦Python) covering machine learning, deep learning, reinforcement learning and related tools, each tutorial paired with a video lesson.

  19. 22

    fashion-mnist

    12.9Kzalandoresearch/fashion-mnist · Python

    A dataset of Zalando's article images for benchmarking machine learning algorithms: 60,000 training and 10,000 test examples, each a 28x28 grayscale image with a label from 10 classes. It is meant as a direct drop-in replacement for the original MNIST.

  20. 23

    lime

    12.2Kmarcotcr/lime · JavaScript

    LIME (Local Interpretable Model-agnostic Explanations) is a Python package that explains individual predictions of any machine learning classifier, whether it works on text, tabular data, or images.

  21. 24

    wandb

    11.3Kwandb/wandb · Python

    wandb is the Weights & Biases AI developer platform: a Python library and hosted service for tracking, visualizing, and managing machine learning experiments from datasets to production models, including LLM apps via its Weave toolset.

  22. 25

    faceai

    11.1Kvipstone/faceai · Python

    An entry-level Python project for face, video and text detection and recognition. It bundles 11 demo features, from face detection in photos and video to contour marking, hat overlays, digital makeup, gender and emotion recognition, image inpainting and auto colorization.

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